20 publicaciones de empleo destacadas en pyspark data engineer (¡Están contratando!)

Data Scientist - QuantumBlack, AI by McKinsey
McKinsey & Company —Madrid, Madrid provincia
- Español
- Azure
- Doctorado
Palantir Foundry Engineer
Luxoft —En remoto
- Teletrabajo
- Inglés
- SQL
- APIs
7d
#CORE DIGITAL CAMPUS - Senior Data Engineer – SAP BI & Palantir Foundry F/M
Airbus Helicopters España, SA —Albacete, Albacete provincia
- Jornada completa
- Trabajo híbrido
- Español
- Informática
- DevOps
- Seguro de vida
Senior Data & Analytics Engineer - Ecosistema Microsoft (Fabric / Azure)
EY —Barcelona, Barcelona provincia
- Azure
- Inglés
- SQL
Lead Expert - Data & AI Engineer
dsm-firmenich —Barcelona, Barcelona provincia
- Azure
- DevOps
- Inglés
Databricks Data Engineer
SDG Group —Barcelona, Barcelona provincia
- Trabajo híbrido
- Azure
- Inglés
- AWS
- Formación continua
- Teletrabajo opcional
Solicitud rápida
Data Specialist Associate
BBVA —Madrid, Madrid provincia
- Jornada completa
- Microsoft Powerpoint
- Microsoft Excel
- Microsoft Access
9h
Senior Data Engineer
Appodeal —Barcelona, Barcelona provincia
- Oficina
- AWS
- Python
Solicitud rápida
Data Scientist & AI - Senior Level
Moffatt & Nichol —Valencia, Valencia provincia
- Jornada completa
- Azure
- Oficina
- Machine learning
Solicitud rápida
Azure Data Solutions Engineer
SDG Group —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- Informática
- Bases de datos
- Oportunidades de crecimiento y desarrollo profesional
Solicitud rápida
Senior Data Engineer (Fintech)
Merlin Digital Partner —Barcelona, Barcelona provincia
- Trabajo híbrido
- Español
- Inglés
- AWS
Solicitud rápida
8d
Data Scientist
Bayer —Barcelona, Barcelona provincia
- Azure
- Doctorado
- DevOps
Cloud Data Solutions Engineer
SDG Group —Santiago de Compostela, A Coruña provincia
- Trabajo híbrido
- Azure
- Informática
- AWS
- Oportunidades de crecimiento y desarrollo profesional
Solicitud rápida
Generative AI
TMC —Madrid, Madrid provincia
- Azure
- Inteligencia artificial
- Python
Senior Machine Learning Site Reliability Engineer
Prima —Madrid, Madrid provincia
- Teletrabajo
- AWS
- Machine learning
- Desarrollo de software
- Abono gimnasio
Solicitud rápida
Director, Data Engineering (Capital Markets)
JLL —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
8d
SENIOR DATA SCIENTIST
Mango —Palau-solità i Plegamans, Barcelona provincia
- Incorporación inmediata
- Trabajo híbrido
- Servicio en mesas
- Azure
- Informática
- Flexibilidad horaria
- Teletrabajo opcional
AI Engineer (Full Remote)
Everfield —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Español
- Informática
- Inglés
Tech Lead MLOps Engineer
Mango —Palau-solità i Plegamans, Barcelona provincia
- Incorporación inmediata
- Trabajo híbrido
- Servicio en mesas
- Azure
- Inglés
- Flexibilidad horaria
- Teletrabajo opcional
AI Architect, Madrid
WayOps —Madrid, Madrid provincia
- Incorporación inmediata
- Teletrabajo
- Azure
- DevOps
- SQL

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Data Scientist - QuantumBlack, AI by McKinsey

McKinsey & Company -
Madrid, Madrid provincia

Solicitar ahora

Detalles del empleo

Contrato para la formación y el aprendizaje

Cualificaciones

Español
Azure
Doctorado
Informática
Inglés
Máster
SQL
AWS
Docker
Grado
Machine learning
Portugués
Cloud
Inteligencia artificial

Descripción completa del empleo

Job ID: 100250

Madrid

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

YOUR IMPACT

As a Data Scientist, you will collaborate with clients and interdisciplinary teams to develop impactful analytics solutions, optimize code, and solve real-world business problems across diverse industries.

You’ll grow as a technologist by contributing to cutting-edge projects, R&D, and global conferences while working alongside world-class talent in a dynamic, innovative environment.

In this role, you will partner with clients to understand their needs and develop impactful analytics solutions. You will translate business problems into analytical challenges, build models to solve them, and ensure they are evaluated with relevant metrics. You’ll also contribute to internal tools, participate in R&D projects, and have opportunities to attend and present at conferences like NIPS and ICML.

Your work will create real-world impact. By identifying patterns in data and delivering innovative solutions, you will help clients maintain their competitive advantage and transform their day-to-day operations. Your contributions will directly influence business outcomes and drive lasting improvements across industries.

You will be based in Madrid or Lisbon, and collaborate closely with data scientists, data engineers, machine learning engineers, designers, and product managers around the world working on interdisciplinary projects that use math, statistics, and machine learning to derive insights from raw data. You will help global companies transform their businesses and enhance performance across industries such as healthcare, automotive, energy, and elite sports.

You’ll thrive in an unparalleled environment for growth. You’ll develop a sought-after perspective by connecting technology and business value, tackle real-life challenges across diverse industries, and collaborate with inspiring multidisciplinary teams, gaining a holistic understanding of AI and its potential to drive transformation.

Our Tech Stack

While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more.

YOUR GROWTH

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS

0-2+ years of professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data

Bachelors, Master’s or PhD level degree in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence

Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains

Ability to independently own and drive model development, balancing demands and deadlines

Demonstrated aptitude for analytics

Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment

Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields

Strong communication skills, both verbal and written, in English, and Spanish or Portuguese, with the ability to adjust your style to suit different perspectives and seniority levels

Willingness to travel

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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Refina tu búsqueda

pyspark data engineer empleos

Data Scientist - QuantumBlack, AI by McKinsey

Palantir Foundry Engineer

#CORE DIGITAL CAMPUS - Senior Data Engineer – SAP BI & Palantir Foundry F/M

Senior Data & Analytics Engineer - Ecosistema Microsoft (Fabric / Azure)

Lead Expert - Data & AI Engineer

Databricks Data Engineer

Data Specialist Associate

Senior Data Engineer

Data Scientist & AI - Senior Level

Azure Data Solutions Engineer

Senior Data Engineer (Fintech)

Data Scientist

Cloud Data Solutions Engineer

Generative AI

Senior Machine Learning Site Reliability Engineer

Director, Data Engineering (Capital Markets)

SENIOR DATA SCIENTIST

AI Engineer (Full Remote)

Tech Lead MLOps Engineer

AI Architect, Madrid

Quiero recibir la alerta de empleo más reciente de pyspark data engineer

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